Overview

Dataset statistics

Number of variables	21
Number of observations	998
Missing cells	81
Missing cells (%)	0.4%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	565.6 KiB
Average record size in memory	580.3 B

Variable types

Text	2
Categorical	9
DateTime	1
Numeric	8
Boolean	1

Dataset

Description	JHB_DPHRU_053 - Quality-corrected harmonized data
Creator	RP2 Clinical Data Quality Team
Author	Quality-Checked Data
URL	HEAT Research Projects

Variable descriptions

Age (at enrolment)	Patient age at study enrollment
CD4 cell count (cells/µL)	CD4+ T lymphocyte count (missing codes removed)
HIV viral load (copies/mL)	HIV RNA copies per mL (missing codes removed)
BMI (kg/m²)	Body Mass Index (extreme values removed)
Waist circumference (cm)	Waist circumference (corrected from mm to cm)
ALT (U/L)	Alanine aminotransferase (missing codes removed)
Platelet count (×10³/µL)	Platelet count (missing codes removed)
Hematocrit (%)	Hematocrit (zero values removed)
Lymphocyte count (×10⁹/L)	Lymphocyte absolute count (corrected labeling)
Neutrophil count (×10⁹/L)	Neutrophil absolute count (corrected labeling)
cd4_correction_applied	Quality flag: CD4 missing codes removed
final_comprehensive_fix_applied	Quality flag: Comprehensive corrections applied
waist_circ_unit_correction_applied	Quality flag: Waist circ unit corrected

Alerts

`study_source` has constant value "JHB_DPHRU_053"	Constant
`latitude` has constant value "-26.2041"	Constant
`longitude` has constant value "28.0473"	Constant
`province` has constant value "Gauteng"	Constant
`city` has constant value "Johannesburg"	Constant
`jhb_subregion` has constant value "Central_JHB"	Constant
`cd4_correction_applied` has constant value "0.0"	Constant
`final_comprehensive_fix_applied` has constant value "1.0"	Constant
`waist_circ_unit_correction_applied` has constant value "False"	Constant
`BMI (kg/m²)` is highly overall correlated with `Sex` and 1 other fields	High correlation
`Sex` is highly overall correlated with `BMI (kg/m²)` and 1 other fields	High correlation
`diastolic_bp_mmHg` is highly overall correlated with `systolic_bp_mmHg`	High correlation
`height_m` is highly overall correlated with `Sex`	High correlation
`systolic_bp_mmHg` is highly overall correlated with `diastolic_bp_mmHg`	High correlation
`weight_kg` is highly overall correlated with `BMI (kg/m²)`	High correlation
`total_cholesterol_mg_dL` has 26 (2.6%) missing values	Missing
`Triglycerides (mg/dL)` has 26 (2.6%) missing values	Missing
`anonymous_patient_id` has unique values	Unique
`Patient ID` has unique values	Unique

Reproduction

Analysis started	2025-11-24 21:49:13.964011
Analysis finished	2025-11-24 21:49:16.702402
Duration	2.74 seconds
Software version	ydata-profiling vv4.18.0
Download configuration	config.json

anonymous_patient_id
Text

Unique

Distinct	998
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	72.1 KiB

Length

Max length	17
Median length	17
Mean length	17
Min length	17

Characters and Unicode

Total characters	16966
Distinct characters	19
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	998 ?
Unique (%)	100.0%

Sample

1st row	HEAT_EFCE0743072E
2nd row	HEAT_F3BA2B285DB1
3rd row	HEAT_2B8BDBC0C1EE
4th row	HEAT_E3EC25AD8189
5th row	HEAT_17FEBF78F855

Value	Count	Frequency (%)
heat_efce0743072e	1	0.1%
heat_a402e1bca908	1	0.1%
heat_2ec5321500fb	1	0.1%
heat_b216e9aa2d15	1	0.1%
heat_2b8bdbc0c1ee	1	0.1%
heat_e3ec25ad8189	1	0.1%
heat_17febf78f855	1	0.1%
heat_5fe7a2fc6a9c	1	0.1%
heat_0058eddd14fa	1	0.1%
heat_a686658cd4f5	1	0.1%
Other values (988)	988	99.0%

Most occurring characters

Value	Count	Frequency (%)
E	1796	10.6%
A	1749	10.3%
H	998	5.9%
T	998	5.9%
_	998	5.9%
8	785	4.6%
4	783	4.6%
3	777	4.6%
2	766	4.5%
0	765	4.5%
Other values (9)	6551	38.6%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	8454	49.8%
Decimal Number	7514	44.3%
Connector Punctuation	998	5.9%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
8	785	10.4%
4	783	10.4%
3	777	10.3%
2	766	10.2%
0	765	10.2%
9	765	10.2%
5	739	9.8%
6	723	9.6%
1	721	9.6%
7	690	9.2%

Uppercase Letter

Value	Count	Frequency (%)
E	1796	21.2%
A	1749	20.7%
H	998	11.8%
T	998	11.8%
D	746	8.8%
C	735	8.7%
F	732	8.7%
B	700	8.3%

Connector Punctuation

Value	Count	Frequency (%)
_	998	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	8512	50.2%
Latin	8454	49.8%

Most frequent character per script

Common

Value	Count	Frequency (%)
_	998	11.7%
8	785	9.2%
4	783	9.2%
3	777	9.1%
2	766	9.0%
0	765	9.0%
9	765	9.0%
5	739	8.7%
6	723	8.5%
1	721	8.5%

Latin

Value	Count	Frequency (%)
E	1796	21.2%
A	1749	20.7%
H	998	11.8%
T	998	11.8%
D	746	8.8%
C	735	8.7%
F	732	8.7%
B	700	8.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16966	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
E	1796	10.6%
A	1749	10.3%
H	998	5.9%
T	998	5.9%
_	998	5.9%
8	785	4.6%
4	783	4.6%
3	777	4.6%
2	766	4.5%
0	765	4.5%
Other values (9)	6551	38.6%

Patient ID
Text

Unique

Distinct	998
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	63.7 KiB

Length

Max length	10
Median length	8
Mean length	8.3396794
Min length	7

Characters and Unicode

Total characters	8323
Distinct characters	13
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	998 ?
Unique (%)	100.0%

Sample

1st row	GSK1001
2nd row	GSK1003
3rd row	GSK1004
4th row	GSK1006
5th row	GSK1007

Value	Count	Frequency (%)
gsk1001	1	0.1%
gsk1019	1	0.1%
gsk1045	1	0.1%
gsk1042	1	0.1%
gsk1004	1	0.1%
gsk1006	1	0.1%
gsk1007	1	0.1%
gsk1008	1	0.1%
gsk1010	1	0.1%
gsk1011	1	0.1%
Other values (988)	988	99.0%

Most occurring characters

Value	Count	Frequency (%)
1	1122	13.5%
G	998	12.0%
S	998	12.0%
K	998	12.0%
0	592	7.1%
3	525	6.3%
2	505	6.1%
4	498	6.0%
5	476	5.7%
6	406	4.9%
Other values (3)	1205	14.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5329	64.0%
Uppercase Letter	2994	36.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	1122	21.1%
0	592	11.1%
3	525	9.9%
2	505	9.5%
4	498	9.3%
5	476	8.9%
6	406	7.6%
9	405	7.6%
7	404	7.6%
8	396	7.4%

Uppercase Letter

Value	Count	Frequency (%)
G	998	33.3%
S	998	33.3%
K	998	33.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	5329	64.0%
Latin	2994	36.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	1122	21.1%
0	592	11.1%
3	525	9.9%
2	505	9.5%
4	498	9.3%
5	476	8.9%
6	406	7.6%
9	405	7.6%
7	404	7.6%
8	396	7.4%

Latin

Value	Count	Frequency (%)
G	998	33.3%
S	998	33.3%
K	998	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8323	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	1122	13.5%
G	998	12.0%
S	998	12.0%
K	998	12.0%
0	592	7.1%
3	525	6.3%
2	505	6.1%
4	498	6.0%
5	476	5.7%
6	406	4.9%
Other values (3)	1205	14.5%

study_source
Categorical

Constant

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	68.2 KiB

JHB_DPHRU_053	998

Length

Max length	13
Median length	13
Mean length	13
Min length	13

Characters and Unicode

Total characters	12974
Distinct characters	11
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	JHB_DPHRU_053
2nd row	JHB_DPHRU_053
3rd row	JHB_DPHRU_053
4th row	JHB_DPHRU_053
5th row	JHB_DPHRU_053

Common Values

Value	Count	Frequency (%)
JHB_DPHRU_053	998	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
jhb_dphru_053	998	100.0%

Most occurring characters

Value	Count	Frequency (%)
H	1996	15.4%
_	1996	15.4%
J	998	7.7%
B	998	7.7%
D	998	7.7%
P	998	7.7%
R	998	7.7%
U	998	7.7%
0	998	7.7%
5	998	7.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	7984	61.5%
Decimal Number	2994	23.1%
Connector Punctuation	1996	15.4%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
H	1996	25.0%
J	998	12.5%
B	998	12.5%
D	998	12.5%
P	998	12.5%
R	998	12.5%
U	998	12.5%

Decimal Number

Value	Count	Frequency (%)
0	998	33.3%
5	998	33.3%
3	998	33.3%

Connector Punctuation

Value	Count	Frequency (%)
_	1996	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7984	61.5%
Common	4990	38.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
H	1996	25.0%
J	998	12.5%
B	998	12.5%
D	998	12.5%
P	998	12.5%
R	998	12.5%
U	998	12.5%

Common

Value	Count	Frequency (%)
_	1996	40.0%
0	998	20.0%
5	998	20.0%
3	998	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12974	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
H	1996	15.4%
_	1996	15.4%
J	998	7.7%
B	998	7.7%
D	998	7.7%
P	998	7.7%
R	998	7.7%
U	998	7.7%
0	998	7.7%
5	998	7.7%

primary_date
Date

Distinct	301
Distinct (%)	30.2%
Missing	0
Missing (%)	0.0%
Memory size	15.6 KiB

Minimum	2017-01-23 00:00:00
Maximum	2018-07-24 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

Age (at enrolment)
Real number (ℝ)

Patient age at study enrollment

Distinct	29
Distinct (%)	2.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	53.599198

Minimum	41
Maximum	71
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	15.6 KiB

Quantile statistics

Minimum	41
5-th percentile	44
Q1	49
median	53
Q3	59
95-th percentile	63
Maximum	71
Range	30
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	5.9694709
Coefficient of variation (CV)	0.11137239
Kurtosis	-0.97067221
Mean	53.599198
Median Absolute Deviation (MAD)	5
Skewness	0.064769631
Sum	53492
Variance	35.634583
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
53	63	6.3%
55	61	6.1%
48	57	5.7%
62	56	5.6%
49	55	5.5%
50	52	5.2%
52	52	5.2%
47	50	5.0%
54	46	4.6%
60	46	4.6%
Other values (19)	460	46.1%

Value	Count	Frequency (%)
41	4	0.4%
42	4	0.4%
43	18	1.8%
44	30	3.0%
45	39	3.9%
46	39	3.9%
47	50	5.0%
48	57	5.7%
49	55	5.5%
50	52	5.2%

Value	Count	Frequency (%)
71	1	0.1%
68	1	0.1%
67	1	0.1%
66	3	0.3%
65	8	0.8%
64	16	1.6%
63	36	3.6%
62	56	5.6%
61	40	4.0%
60	46	4.6%

Sex
Categorical

High correlation

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	60.4 KiB

Male	501
Female	497

Length

Max length	6
Median length	4
Mean length	4.995992
Min length	4

Characters and Unicode

Total characters	4986
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Female
2nd row	Female
3rd row	Female
4th row	Female
5th row	Female

Common Values

Value	Count	Frequency (%)
Male	501	50.2%
Female	497	49.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
male	501	50.2%
female	497	49.8%

Most occurring characters

Value	Count	Frequency (%)
e	1495	30.0%
a	998	20.0%
l	998	20.0%
M	501	10.0%
F	497	10.0%
m	497	10.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3988	80.0%
Uppercase Letter	998	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1495	37.5%
a	998	25.0%
l	998	25.0%
m	497	12.5%

Uppercase Letter

Value	Count	Frequency (%)
M	501	50.2%
F	497	49.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4986	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1495	30.0%
a	998	20.0%
l	998	20.0%
M	501	10.0%
F	497	10.0%
m	497	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4986	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	1495	30.0%
a	998	20.0%
l	998	20.0%
M	501	10.0%
F	497	10.0%
m	497	10.0%

latitude
Categorical

Constant

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	63.3 KiB

-26.2041	998

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	7984
Distinct characters	7
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	-26.2041
2nd row	-26.2041
3rd row	-26.2041
4th row	-26.2041
5th row	-26.2041

Common Values

Value	Count	Frequency (%)
-26.2041	998	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
26.2041	998	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	1996	25.0%
-	998	12.5%
6	998	12.5%
.	998	12.5%
0	998	12.5%
4	998	12.5%
1	998	12.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5988	75.0%
Dash Punctuation	998	12.5%
Other Punctuation	998	12.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	1996	33.3%
6	998	16.7%
0	998	16.7%
4	998	16.7%
1	998	16.7%

Dash Punctuation

Value	Count	Frequency (%)
-	998	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	998	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	7984	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	1996	25.0%
-	998	12.5%
6	998	12.5%
.	998	12.5%
0	998	12.5%
4	998	12.5%
1	998	12.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7984	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	1996	25.0%
-	998	12.5%
6	998	12.5%
.	998	12.5%
0	998	12.5%
4	998	12.5%
1	998	12.5%

longitude
Categorical

Constant

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	62.4 KiB

28.0473	998

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	6986
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	28.0473
2nd row	28.0473
3rd row	28.0473
4th row	28.0473
5th row	28.0473

Common Values

Value	Count	Frequency (%)
28.0473	998	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
28.0473	998	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	998	14.3%
8	998	14.3%
.	998	14.3%
0	998	14.3%
4	998	14.3%
7	998	14.3%
3	998	14.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5988	85.7%
Other Punctuation	998	14.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	998	16.7%
8	998	16.7%
0	998	16.7%
4	998	16.7%
7	998	16.7%
3	998	16.7%

Other Punctuation

Value	Count	Frequency (%)
.	998	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	6986	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	998	14.3%
8	998	14.3%
.	998	14.3%
0	998	14.3%
4	998	14.3%
7	998	14.3%
3	998	14.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6986	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	998	14.3%
8	998	14.3%
.	998	14.3%
0	998	14.3%
4	998	14.3%
7	998	14.3%
3	998	14.3%

province
Categorical

Constant

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	62.4 KiB

Gauteng	998

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	6986
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Gauteng
2nd row	Gauteng
3rd row	Gauteng
4th row	Gauteng
5th row	Gauteng

Common Values

Value	Count	Frequency (%)
Gauteng	998	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
gauteng	998	100.0%

Most occurring characters

Value	Count	Frequency (%)
G	998	14.3%
a	998	14.3%
u	998	14.3%
t	998	14.3%
e	998	14.3%
n	998	14.3%
g	998	14.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5988	85.7%
Uppercase Letter	998	14.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	998	16.7%
u	998	16.7%
t	998	16.7%
e	998	16.7%
n	998	16.7%
g	998	16.7%

Uppercase Letter

Value	Count	Frequency (%)
G	998	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6986	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
G	998	14.3%
a	998	14.3%
u	998	14.3%
t	998	14.3%
e	998	14.3%
n	998	14.3%
g	998	14.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6986	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
G	998	14.3%
a	998	14.3%
u	998	14.3%
t	998	14.3%
e	998	14.3%
n	998	14.3%
g	998	14.3%

city
Categorical

Constant

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	67.2 KiB

Johannesburg	998

Length

Max length	12
Median length	12
Mean length	12
Min length	12

Characters and Unicode

Total characters	11976
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Johannesburg
2nd row	Johannesburg
3rd row	Johannesburg
4th row	Johannesburg
5th row	Johannesburg

Common Values

Value	Count	Frequency (%)
Johannesburg	998	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
johannesburg	998	100.0%

Most occurring characters

Value	Count	Frequency (%)
n	1996	16.7%
J	998	8.3%
o	998	8.3%
h	998	8.3%
a	998	8.3%
e	998	8.3%
s	998	8.3%
b	998	8.3%
u	998	8.3%
r	998	8.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	10978	91.7%
Uppercase Letter	998	8.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	1996	18.2%
o	998	9.1%
h	998	9.1%
a	998	9.1%
e	998	9.1%
s	998	9.1%
b	998	9.1%
u	998	9.1%
r	998	9.1%
g	998	9.1%

Uppercase Letter

Value	Count	Frequency (%)
J	998	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11976	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	1996	16.7%
J	998	8.3%
o	998	8.3%
h	998	8.3%
a	998	8.3%
e	998	8.3%
s	998	8.3%
b	998	8.3%
u	998	8.3%
r	998	8.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11976	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	1996	16.7%
J	998	8.3%
o	998	8.3%
h	998	8.3%
a	998	8.3%
e	998	8.3%
s	998	8.3%
b	998	8.3%
u	998	8.3%
r	998	8.3%

jhb_subregion
Categorical

Constant

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	66.3 KiB

Central_JHB	998

Length

Max length	11
Median length	11
Mean length	11
Min length	11

Characters and Unicode

Total characters	10978
Distinct characters	11
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Central_JHB
2nd row	Central_JHB
3rd row	Central_JHB
4th row	Central_JHB
5th row	Central_JHB

Common Values

Value	Count	Frequency (%)
Central_JHB	998	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
central_jhb	998	100.0%

Most occurring characters

Value	Count	Frequency (%)
C	998	9.1%
e	998	9.1%
n	998	9.1%
t	998	9.1%
r	998	9.1%
a	998	9.1%
l	998	9.1%
_	998	9.1%
J	998	9.1%
H	998	9.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5988	54.5%
Uppercase Letter	3992	36.4%
Connector Punctuation	998	9.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	998	16.7%
n	998	16.7%
t	998	16.7%
r	998	16.7%
a	998	16.7%
l	998	16.7%

Uppercase Letter

Value	Count	Frequency (%)
C	998	25.0%
J	998	25.0%
H	998	25.0%
B	998	25.0%

Connector Punctuation

Value	Count	Frequency (%)
_	998	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	9980	90.9%
Common	998	9.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
C	998	10.0%
e	998	10.0%
n	998	10.0%
t	998	10.0%
r	998	10.0%
a	998	10.0%
l	998	10.0%
J	998	10.0%
H	998	10.0%
B	998	10.0%

Common

Value	Count	Frequency (%)
_	998	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10978	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
C	998	9.1%
e	998	9.1%
n	998	9.1%
t	998	9.1%
r	998	9.1%
a	998	9.1%
l	998	9.1%
_	998	9.1%
J	998	9.1%
H	998	9.1%

BMI (kg/m²)
Real number (ℝ)

High correlation

Body Mass Index (extreme values removed)

Distinct	816
Distinct (%)	82.2%
Missing	5
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	29.560846

Minimum	15.24
Maximum	65.89
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	15.6 KiB

Quantile statistics

Minimum	15.24
5-th percentile	18.286
Q1	23.53
median	29.07
Q3	34.52
95-th percentile	42.696
Maximum	65.89
Range	50.65
Interquartile range (IQR)	10.99

Descriptive statistics

Standard deviation	7.7932914
Coefficient of variation (CV)	0.2636356
Kurtosis	0.67413325
Mean	29.560846
Median Absolute Deviation (MAD)	5.49
Skewness	0.63362711
Sum	29353.92
Variance	60.735391
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
32.47	3	0.3%
34.76	3	0.3%
31.26	3	0.3%
32.57	3	0.3%
30.94	3	0.3%
26.96	3	0.3%
28.55	3	0.3%
27.85	3	0.3%
30.5	3	0.3%
37.2	3	0.3%
Other values (806)	963	96.5%
(Missing)	5	0.5%

Value	Count	Frequency (%)
15.24	1	0.1%
15.3	1	0.1%
15.39	1	0.1%
15.46	1	0.1%
15.69	1	0.1%
15.85	1	0.1%
15.93	1	0.1%
16.14	1	0.1%
16.21	1	0.1%
16.34	1	0.1%

Value	Count	Frequency (%)
65.89	1	0.1%
62.84	1	0.1%
58.62	1	0.1%
56.42	1	0.1%
56.09	1	0.1%
53.91	1	0.1%
53.85	1	0.1%
53.13	1	0.1%
52.89	1	0.1%
51.37	1	0.1%

weight_kg
Real number (ℝ)

High correlation

Distinct	529
Distinct (%)	53.3%
Missing	5
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	79.47718

Minimum	37
Maximum	168.8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	15.6 KiB

Quantile statistics

Minimum	37
5-th percentile	51.9
Q1	65.2
median	78.1
Q3	90.9
95-th percentile	113
Maximum	168.8
Range	131.8
Interquartile range (IQR)	25.7

Descriptive statistics

Standard deviation	19.199436
Coefficient of variation (CV)	0.24157168
Kurtosis	0.76277468
Mean	79.47718
Median Absolute Deviation (MAD)	12.9
Skewness	0.63115531
Sum	78920.84
Variance	368.61833
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
78.8	7	0.7%
77.2	6	0.6%
74.2	6	0.6%
66.6	6	0.6%
63.9	5	0.5%
85.3	5	0.5%
90.6	5	0.5%
80.7	5	0.5%
74	5	0.5%
60.5	5	0.5%
Other values (519)	938	94.0%

Value	Count	Frequency (%)
37	1	0.1%
38.3	1	0.1%
39.7	1	0.1%
40.7	1	0.1%
40.9	1	0.1%
42.2	1	0.1%
42.4	1	0.1%
42.9	1	0.1%
43.5	1	0.1%
43.8	1	0.1%

Value	Count	Frequency (%)
168.8	1	0.1%
162.2	1	0.1%
153.9	1	0.1%
144.5	1	0.1%
143	1	0.1%
136.8	1	0.1%
134.8	1	0.1%
134.7	1	0.1%
133.6	1	0.1%
133.4	1	0.1%

height_m
Real number (ℝ)

High correlation

Distinct	50
Distinct (%)	5.0%
Missing	5
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	1.646858

Minimum	1.39
Maximum	1.92
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	15.6 KiB

Quantile statistics

Minimum	1.39
5-th percentile	1.5
Q1	1.58
median	1.64
Q3	1.71
95-th percentile	1.79
Maximum	1.92
Range	0.53
Interquartile range (IQR)	0.13

Descriptive statistics

Standard deviation	0.090536021
Coefficient of variation (CV)	0.054975001
Kurtosis	-0.40941396
Mean	1.646858
Median Absolute Deviation (MAD)	0.07
Skewness	0.11788112
Sum	1635.33
Variance	0.0081967711
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.58	53	5.3%
1.63	42	4.2%
1.74	42	4.2%
1.62	39	3.9%
1.7	38	3.8%
1.59	38	3.8%
1.69	38	3.8%
1.64	38	3.8%
1.67	37	3.7%
1.57	37	3.7%
Other values (40)	591	59.2%

Value	Count	Frequency (%)
1.39	1	0.1%
1.44	3	0.3%
1.45	6	0.6%
1.46	9	0.9%
1.47	5	0.5%
1.48	9	0.9%
1.49	7	0.7%
1.5	11	1.1%
1.51	6	0.6%
1.52	16	1.6%

Value	Count	Frequency (%)
1.92	1	0.1%
1.91	2	0.2%
1.9	1	0.1%
1.89	1	0.1%
1.88	1	0.1%
1.87	3	0.3%
1.86	1	0.1%
1.85	3	0.3%
1.84	2	0.2%
1.83	10	1.0%

systolic_bp_mmHg
Real number (ℝ)

High correlation

Distinct	196
Distinct (%)	19.8%
Missing	7
Missing (%)	0.7%
Infinite	0
Infinite (%)	0.0%
Mean	132.32341

Minimum	81
Maximum	258.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	15.6 KiB

Quantile statistics

Minimum	81
5-th percentile	103
Q1	117.75
median	130
Q3	144
95-th percentile	169.75
Maximum	258.5
Range	177.5
Interquartile range (IQR)	26.25

Descriptive statistics

Standard deviation	21.355436
Coefficient of variation (CV)	0.16138819
Kurtosis	2.2537289
Mean	132.32341
Median Absolute Deviation (MAD)	13
Skewness	0.92951207
Sum	131132.5
Variance	456.05464
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
123	16	1.6%
124.5	15	1.5%
117.5	15	1.5%
136.5	15	1.5%
119	15	1.5%
118.5	14	1.4%
126.5	14	1.4%
124	14	1.4%
142.5	13	1.3%
134.5	13	1.3%
Other values (186)	847	84.9%

Value	Count	Frequency (%)
81	1	0.1%
85	1	0.1%
86.5	1	0.1%
87	1	0.1%
87.5	1	0.1%
88	1	0.1%
88.5	1	0.1%
89	1	0.1%
89.5	1	0.1%
90	2	0.2%

Value	Count	Frequency (%)
258.5	1	0.1%
239	1	0.1%
215	1	0.1%
213	1	0.1%
211	1	0.1%
208.5	1	0.1%
207.5	1	0.1%
206.5	1	0.1%
193.5	1	0.1%
192	1	0.1%

diastolic_bp_mmHg
Real number (ℝ)

High correlation

Distinct	133
Distinct (%)	13.4%
Missing	7
Missing (%)	0.7%
Infinite	0
Infinite (%)	0.0%
Mean	88.397074

Minimum	48.5
Maximum	150
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	15.6 KiB

Quantile statistics

Minimum	48.5
5-th percentile	70
Q1	80
median	87.5
Q3	96
95-th percentile	109.5
Maximum	150
Range	101.5
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	12.449453
Coefficient of variation (CV)	0.14083558
Kurtosis	1.1474371
Mean	88.397074
Median Absolute Deviation (MAD)	8
Skewness	0.55858342
Sum	87601.5
Variance	154.98889
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
79.5	23	2.3%
86	23	2.3%
87.5	22	2.2%
96	22	2.2%
83.5	21	2.1%
84	21	2.1%
83	20	2.0%
90.5	20	2.0%
90	20	2.0%
86.5	20	2.0%
Other values (123)	779	78.1%

Value	Count	Frequency (%)
48.5	1	0.1%
56	1	0.1%
57	1	0.1%
58.5	1	0.1%
60	1	0.1%
60.5	1	0.1%
61	2	0.2%
61.5	1	0.1%
62.5	1	0.1%
63	2	0.2%

Value	Count	Frequency (%)
150	1	0.1%
141.5	1	0.1%
133.5	1	0.1%
131.5	1	0.1%
131	1	0.1%
130	1	0.1%
129.5	1	0.1%
125.5	2	0.2%
125	1	0.1%
122.5	2	0.2%

total_cholesterol_mg_dL
Real number (ℝ)

Missing

Distinct	369
Distinct (%)	38.0%
Missing	26
Missing (%)	2.6%
Infinite	0
Infinite (%)	0.0%
Mean	4.3946914

Minimum	1.6
Maximum	11.98
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	15.6 KiB

Quantile statistics

Minimum	1.6
5-th percentile	2.8555
Q1	3.68
median	4.35
Q3	5.02
95-th percentile	6.1745
Maximum	11.98
Range	10.38
Interquartile range (IQR)	1.34

Descriptive statistics

Standard deviation	1.0298543
Coefficient of variation (CV)	0.23434052
Kurtosis	2.8989069
Mean	4.3946914
Median Absolute Deviation (MAD)	0.67
Skewness	0.72446762
Sum	4271.64
Variance	1.0605998
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4.11	11	1.1%
4.04	10	1.0%
4.75	9	0.9%
3.75	8	0.8%
4.45	8	0.8%
5.42	7	0.7%
3.55	7	0.7%
4.37	7	0.7%
4.09	7	0.7%
4.08	7	0.7%
Other values (359)	891	89.3%
(Missing)	26	2.6%

Value	Count	Frequency (%)
1.6	1	0.1%
1.8	1	0.1%
1.82	1	0.1%
2	1	0.1%
2.15	1	0.1%
2.18	1	0.1%
2.2	1	0.1%
2.28	1	0.1%
2.33	1	0.1%
2.35	1	0.1%

Value	Count	Frequency (%)
11.98	1	0.1%
7.82	1	0.1%
7.71	1	0.1%
7.6	1	0.1%
7.43	1	0.1%
7.3	1	0.1%
7.24	1	0.1%
7.2	1	0.1%
7.09	1	0.1%
7.08	2	0.2%

Triglycerides (mg/dL)
Real number (ℝ)

Missing

Distinct	207
Distinct (%)	21.3%
Missing	26
Missing (%)	2.6%
Infinite	0
Infinite (%)	0.0%
Mean	1.0413786

Minimum	0.22
Maximum	10.42
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	15.6 KiB

Quantile statistics

Minimum	0.22
5-th percentile	0.42
Q1	0.64
median	0.85
Q3	1.21
95-th percentile	2.1545
Maximum	10.42
Range	10.2
Interquartile range (IQR)	0.57

Descriptive statistics

Standard deviation	0.74350213
Coefficient of variation (CV)	0.71395949
Kurtosis	38.239011
Mean	1.0413786
Median Absolute Deviation (MAD)	0.255
Skewness	4.6665268
Sum	1012.22
Variance	0.55279542
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.82	17	1.7%
0.81	17	1.7%
0.71	16	1.6%
0.66	16	1.6%
0.69	15	1.5%
0.83	14	1.4%
0.54	14	1.4%
0.67	13	1.3%
0.65	13	1.3%
0.78	13	1.3%
Other values (197)	824	82.6%
(Missing)	26	2.6%

Value	Count	Frequency (%)
0.22	1	0.1%
0.25	1	0.1%
0.28	1	0.1%
0.3	2	0.2%
0.32	2	0.2%
0.33	4	0.4%
0.34	4	0.4%
0.35	6	0.6%
0.36	2	0.2%
0.37	5	0.5%

Value	Count	Frequency (%)
10.42	1	0.1%
7.24	1	0.1%
5.6	2	0.2%
5.45	1	0.1%
5.24	1	0.1%
5.13	1	0.1%
5.01	1	0.1%
4.54	1	0.1%
4.4	1	0.1%
4.06	1	0.1%

cd4_correction_applied
Categorical

Constant

Quality flag: CD4 missing codes removed

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	58.5 KiB

0.0	998

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	2994
Distinct characters	2
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	998	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	998	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	1996	66.7%
.	998	33.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1996	66.7%
Other Punctuation	998	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1996	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	998	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2994	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1996	66.7%
.	998	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2994	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1996	66.7%
.	998	33.3%

final_comprehensive_fix_applied
Categorical

Constant

Quality flag: Comprehensive corrections applied

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	58.5 KiB

1.0	998

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	2994
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	998	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	998	100.0%

Most occurring characters

Value	Count	Frequency (%)
1	998	33.3%
.	998	33.3%
0	998	33.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1996	66.7%
Other Punctuation	998	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	998	50.0%
0	998	50.0%

Other Punctuation

Value	Count	Frequency (%)
.	998	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2994	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	998	33.3%
.	998	33.3%
0	998	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2994	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	998	33.3%
.	998	33.3%
0	998	33.3%

waist_circ_unit_correction_applied
Boolean

Constant

Quality flag: Waist circ unit corrected

Distinct	1
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	8.8 KiB

False	998

Value	Count	Frequency (%)
False	998	100.0%

Interactions

Correlations

	Age (at enrolment)	BMI (kg/m²)	Sex	Triglycerides (mg/dL)	diastolic_bp_mmHg	height_m	systolic_bp_mmHg	total_cholesterol_mg_dL	weight_kg
Age (at enrolment)	1.000	0.120	0.138	0.045	0.010	-0.052	0.200	0.091	0.118
BMI (kg/m²)	0.120	1.000	0.507	0.134	0.185	-0.424	0.188	0.111	0.901
Sex	0.138	0.507	1.000	0.165	0.019	0.759	0.053	0.152	0.248
Triglycerides (mg/dL)	0.045	0.134	0.165	1.000	0.151	0.121	0.163	0.270	0.208
diastolic_bp_mmHg	0.010	0.185	0.019	0.151	1.000	-0.001	0.797	0.083	0.198
height_m	-0.052	-0.424	0.759	0.121	-0.001	1.000	-0.002	-0.108	-0.021
systolic_bp_mmHg	0.200	0.188	0.053	0.163	0.797	-0.002	1.000	0.084	0.199
total_cholesterol_mg_dL	0.091	0.111	0.152	0.270	0.083	-0.108	0.084	1.000	0.075
weight_kg	0.118	0.901	0.248	0.208	0.198	-0.021	0.199	0.075	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	anonymous_patient_id	Patient ID	study_source	primary_date	Age (at enrolment)	Sex	latitude	longitude	province	city	jhb_subregion	BMI (kg/m²)	weight_kg	height_m	systolic_bp_mmHg	diastolic_bp_mmHg	total_cholesterol_mg_dL	Triglycerides (mg/dL)	final_comprehensive_fix_applied	waist_circ_unit_correction_applied
985	HEAT_EFCE0743072E	GSK1001	JHB_DPHRU_053	2017-01-26	62.0	Female	-26.2041	28.0473	Gauteng	Johannesburg	Central_JHB	26.78	74.8	1.67	148.5	89.0	5.58	1.64	1.0	False
986	HEAT_F3BA2B285DB1	GSK1003	JHB_DPHRU_053	2017-02-11	54.0	Female	-26.2041	28.0473	Gauteng	Johannesburg	Central_JHB	29.52	88.8	1.73	149.5	100.5	2.91	1.46	1.0	False
987	HEAT_2B8BDBC0C1EE	GSK1004	JHB_DPHRU_053	2017-01-23	62.0	Female	-26.2041	28.0473	Gauteng	Johannesburg	Central_JHB	17.77	59.4	1.83	154.0	93.0	4.04	0.50	1.0	False
988	HEAT_E3EC25AD8189	GSK1006	JHB_DPHRU_053	2017-01-27	54.0	Female	-26.2041	28.0473	Gauteng	Johannesburg	Central_JHB	20.45	48.6	1.54	124.5	72.0	4.28	0.80	1.0	False
989	HEAT_17FEBF78F855	GSK1007	JHB_DPHRU_053	2017-01-31	58.0	Female	-26.2041	28.0473	Gauteng	Johannesburg	Central_JHB	33.99	98.2	1.70	117.5	72.5	5.22	0.90	1.0	False
990	HEAT_5FE7A2FC6A9C	GSK1008	JHB_DPHRU_053	2017-01-31	58.0	Female	-26.2041	28.0473	Gauteng	Johannesburg	Central_JHB	23.46	72.8	1.76	134.0	84.0	4.62	0.73	1.0	False
991	HEAT_0058EDDD14FA	GSK1010	JHB_DPHRU_053	2017-02-15	60.0	Female	-26.2041	28.0473	Gauteng	Johannesburg	Central_JHB	21.40	58.4	1.65	139.0	86.0	2.87	5.24	1.0	False
992	HEAT_A686658CD4F5	GSK1011	JHB_DPHRU_053	2017-02-03	59.0	Female	-26.2041	28.0473	Gauteng	Johannesburg	Central_JHB	20.78	62.2	1.73	104.0	75.0	3.07	1.31	1.0	False
993	HEAT_C8D4CE31D3F4	GSK1013	JHB_DPHRU_053	2017-01-25	53.0	Female	-26.2041	28.0473	Gauteng	Johannesburg	Central_JHB	21.30	56.2	1.62	107.0	77.0	3.86	0.81	1.0	False
994	HEAT_B8B546F9EE15	GSK1014	JHB_DPHRU_053	2017-03-15	59.0	Female	-26.2041	28.0473	Gauteng	Johannesburg	Central_JHB	26.00	80.6	1.76	139.5	88.5	5.56	1.30	1.0	False

	anonymous_patient_id	Patient ID	study_source	primary_date	Age (at enrolment)	Sex	latitude	longitude	province	city	jhb_subregion	BMI (kg/m²)	weight_kg	height_m	systolic_bp_mmHg	diastolic_bp_mmHg	total_cholesterol_mg_dL	Triglycerides (mg/dL)	final_comprehensive_fix_applied	waist_circ_unit_correction_applied
1973	HEAT_CDED5B8CE2A9	GSK10133	JHB_DPHRU_053	2018-03-20	54.0	Male	-26.2041	28.0473	Gauteng	Johannesburg	Central_JHB	35.84	92.9	1.61	119.0	94.5	5.83	0.91	1.0	False
1974	HEAT_BFB34305F3B2	GSK10134	JHB_DPHRU_053	2018-04-24	60.0	Male	-26.2041	28.0473	Gauteng	Johannesburg	Central_JHB	27.86	74.6	1.64	130.0	88.5	4.61	0.73	1.0	False
1975	HEAT_10E35CE1F4FB	GSK10135	JHB_DPHRU_053	2018-03-01	53.0	Male	-26.2041	28.0473	Gauteng	Johannesburg	Central_JHB	35.00	90.5	1.61	NaN	NaN	NaN	NaN	1.0	False
1976	HEAT_A84860D7AD5B	GSK10136	JHB_DPHRU_053	2018-02-23	53.0	Male	-26.2041	28.0473	Gauteng	Johannesburg	Central_JHB	26.79	63.2	1.54	136.5	103.5	4.37	0.78	1.0	False
1977	HEAT_6B92951F28B3	GSK10137	JHB_DPHRU_053	2018-02-27	54.0	Male	-26.2041	28.0473	Gauteng	Johannesburg	Central_JHB	39.20	106.6	1.65	117.5	82.5	3.44	0.81	1.0	False
1978	HEAT_67AD7A632733	GSK10138	JHB_DPHRU_053	2017-07-05	46.0	Male	-26.2041	28.0473	Gauteng	Johannesburg	Central_JHB	26.31	62.9	1.55	154.0	111.5	4.24	0.47	1.0	False
1979	HEAT_5EFCFB217CAD	GSK10139	JHB_DPHRU_053	2018-03-07	57.0	Male	-26.2041	28.0473	Gauteng	Johannesburg	Central_JHB	36.79	96.0	1.62	146.5	96.0	4.41	1.55	1.0	False
1980	HEAT_183B350F01FF	GSK10142	JHB_DPHRU_053	2018-02-15	50.0	Male	-26.2041	28.0473	Gauteng	Johannesburg	Central_JHB	37.20	100.9	1.65	144.5	89.5	3.77	0.80	1.0	False
1981	HEAT_E31645991B0D	GSK10143	JHB_DPHRU_053	2017-11-23	43.0	Male	-26.2041	28.0473	Gauteng	Johannesburg	Central_JHB	34.99	86.1	1.57	131.5	86.5	4.56	0.50	1.0	False
1982	HEAT_55C448A8437D	GSK10144	JHB_DPHRU_053	2017-05-30	56.0	Male	-26.2041	28.0473	Gauteng	Johannesburg	Central_JHB	33.87	84.7	1.58	160.5	99.5	6.75	1.12	1.0	False

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Uppercase Letter

Connector Punctuation

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Uppercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Decimal Number

Connector Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation